chore: remove cookiecutter until updated (#753)

Co-authored-by: Ran Isenberg <ran.isenberg@ranthebuilder.cloud>

Author: ran-isenberg

README.md

@@ -22,30 +22,6 @@ This project can serve as a template for new Serverless services - CDK deploymen
 [![Website](https://img.shields.io/badge/Website-www.ranthebuilder.cloud-blue)](https://www.ranthebuilder.cloud/)
 
 
-## Cookiecutter Option
-
-You can get a cleaner version of this repository without using the template button on GitHub with cookiecutter.
-
-* Cookiecutter - install with pip/brew ``brew install cookiecutter`` or ``pip install cookiecutter`
-
-Then run:
-
-```
-cookiecutter gh:ran-isenberg/cookiecutter-serverless-python
-```
-
-Answer the questions to select repo name, service name, etc.:
-
-![logo](https://github.com/ran-isenberg/cookiecutter-serverless-python/blob/main/media/howto.png?raw=true)
-
-
-**That's it, your developer environment has been set! you are ready to deploy the service:**
-
-```
-cd {new repo folder}
-poetry shell
-make deploy
-```
 
 You can also run 'make pr' will run all checks, synth, file formatters , unit tests, deploy to AWS and run integration and E2E tests.
 

docs/getting_started.md

@@ -10,29 +10,8 @@ description: AWS Lambda Cookbook Project Getting started
 * [poetry](https://pypi.org/project/poetry/){target="_blank"} - Make sure to run ``poetry config --local virtualenvs.in-project true`` so all dependencies are installed in the project '.venv' folder.
 * For Windows based machines, use the Makefile_windows version (rename to Makefile). Default Makefile is for Mac/Linux.
 
-## Cookiecutter Option
 
-You can get a cleaner version of this repository without using the template button on GitHub with cookiecutter.
-
-* Cookiecutter - install with pip/brew ``brew install cookiecutter`` or ``pip install cookiecutter`
-
-Then run:
-
-``cookiecutter gh:ran-isenberg/cookiecutter-serverless-python``
-
-Answer the questions to select repo name, service name, etc.:
-
-![logo](https://github.com/ran-isenberg/cookiecutter-serverless-python/blob/main/media/howto.png?raw=true)
-
-That's it! you are ready to go and deploy the service to AWS.
-
-``cd {new repo folder}``
-``poetry shell``
-``make deploy``
-
-<br></br>
-
-## **Creating a Developer Environment without cookiecutter**
+## **Creating a Developer Environment**
 
 1. Run ``make dev``
 

docs/pipeline.md

@@ -7,9 +7,9 @@ description: AWS Lambda Cookbook - Elevate Your Handler's Code Python pipeline
 
 The GitHub CI/CD pipeline includes the following steps.
 
-The pipelines uses environment secrets (under the defined environment dev) for code coverage and for the role to deploy to AWS.
+The pipelines uses environment secrets (under the defined environment 'dev', 'staging' and 'production') for code coverage and for the role to deploy to AWS.
 
-When you clone this repository or use the [cookiecutter variation](https://github.com/ran-isenberg/cookiecutter-serverless-python), be sure to define an environment in your [repo settings](https://docs.github.com/en/actions/deployment/targeting-different-environments/using-environments-for-deployment) and add two environment secrets:
+When you clone this repository be sure to define the environments in your [repo settings](https://docs.github.com/en/actions/deployment/targeting-different-environments/using-environments-for-deployment) and add two environment secrets:
 
 1. AWS_ROLE - to role to assume for your GitHub worker as defined [here](https://docs.github.com/en/actions/deployment/security-hardening-your-deployments/configuring-openid-connect-in-amazon-web-services) .
 2. CODECOV_TOKEN - for [code coverage integration](https://app.codecov.io/).